Clear Filters
Clear Filters

How to filter data that detects peaks or irregularities?

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I am trying to build a code that detects these peaks. This graph represents the change in position in time. What I am doing is read the distance timestep by timestep.
I compare the new distance minus the old distance, if this values difference is higher than 5 meters I assume theres a peak. The problem is that each dataset have undefined number of peaks and undefined number of green datasets to save.
How can I solve this?

Answers (1)

Star Strider
Star Strider on 18 Jan 2020
Several functions already exist to do that, among which are findpeaks, islocalmax, ischange, and others.
Star Strider
Star Strider on 18 Jan 2020
Do you have R2017b or later?
Note: No data to analyse.
Image Analyst
Image Analyst on 18 Jan 2020
Mariana, make it easy for people to help you, not hard. Attach your data in a .mat file with the paper clip icon after you read this link.

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